Manufacturing Metrics: 1st Pass Yield Benchmark Data - 0 views

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  #1 Arildsen MacKay on 04 Jan 14

   

  1st Pass Yield is an critical manufacturing metric for measuring good quality and production functionality and there are several rewards to including first pass yield in the manufacturing executive's dashboard. Initial pass yield is a very good measure of the effectiveness of a process and the elimination of waste from that process. Many other measures of productivity and efficiency fail to account for the price of rework and in many facilities rework can be a substantial portion of the time and worth added to final production.
  
  First pass yield can also be a great measure of the success of continuous improvement activities. Quite frequently continuous improvement initiatives are focused on the reduction of waste and inefficiency, which can be hidden from analysis if very first pass yield is not measured. For these causes, and several other individuals, initial pass yield is usually incorporated as the first term of the General Equipment Effectiveness (OEE) formula.
  For those firms that do not yet measure initial pass yield, its formula and application is reasonably straight forward:
  
  Very first Pass Yield Formula
  
  Initial pass yield = (units of items completed from approach to specification with no rework) / (total units of goods entering the approach)
  
  Very first Pass Yield Instance
  If 100 units enter a approach, 99 are finished to specification, and 2 are reworked
  
  First Pass Yield = (99-2) / one hundred = .97 = 97%
  
  Initial Pass Yield Shortcomings
  
  There are however numerous challenges with initial pass yield. Most naturally it doesn't account for the down time, production schedule, or capacity of a given approach. All of which are why most firms either measure it in conjunction with other manufacturing metrics or as portion of a composite metric like OEE. Dig up supplementary information about are_you_wanting_to_see_anything_new_then_you_should_visit_china [Wikontext] by navigating to our dynamite site. All firms want to decrease rework and scrap, but if the approach general is not yielding the preferred return on assets or is not tied to customer demand, all these waste elimination gains may be for practically nothing.
  
  An additional challenge with initial pass yield is determining how functionality in this metric compares with peer groups and marketplace leaders. 1st pass yield is not a metric that is made extensively obtainable to the public, and understanding how performance breaks down by sector is even far more difficult. At LNS Study we are operating to breakdown these barriers and supply drill down analytics into the overall performance of metrics like 1st pass yield by market, geography, and company size.
  
  As can be seen by this initial data, performance can vary fairly a bit from industry to business. To learn more, consider taking a peep at: would_you_like_to_see_something_new_then_you_should_visit_china [Hangar - Te. To get one more interpretation, consider looking at: pcba.

   

  <div class="cArrow"> </div><div class="cContentInner">1st Pass Yield is an critical manufacturing metric for measuring good quality and production functionality and there are several rewards to including first pass yield in the manufacturing executive's dashboard. Initial pass yield is a very good measure of the effectiveness of a process and the elimination of waste from that process. Many other measures of productivity and efficiency fail to account for the price of rework and in many facilities rework can be a substantial portion of the time and worth added to final production. <br /> <br /> First pass yield can also be a great measure of the success of continuous improvement activities. Quite frequently continuous improvement initiatives are focused on the reduction of waste and inefficiency, which can be hidden from analysis if very first pass yield is not measured. For these causes, and several other individuals, initial pass yield is usually incorporated as the first term of the General Equipment Effectiveness (OEE) formula. <br /> For those firms that do not yet measure initial pass yield, its formula and application is reasonably straight forward: <br /> <br /> Very first Pass Yield Formula <br /> <br /> Initial pass yield = (units of items completed from approach to specification with no rework) / (total units of goods entering the approach) <br /> <br /> Very first Pass Yield Instance <br /> If 100 units enter a approach, 99 are finished to specification, and 2 are reworked <br /> <br /> First Pass Yield = (99-2) / one hundred = .97 = 97% <br /> <br /> Initial Pass Yield Shortcomings <br /> <br /> There are however numerous challenges with initial pass yield. Most naturally it doesn't account for the down time, production schedule, or capacity of a given approach. All of which are why most firms either measure it in conjunction with other manufacturing metrics or as portion of a composite metric like OEE. Dig up supplementary information about <a href="http://win.ua.ac.be/~sdgrand/wiki/doku.php?id=are_you_wanting_to_see_anything_new_then_you_should_visit_china" rel="nofollow">are_you_wanting_to_see_anything_new_then_you_should_visit_china [Wikontext]</a> by navigating to our dynamite site. All firms want to decrease rework and scrap, but if the approach general is not yielding the preferred return on assets or is not tied to customer demand, all these waste elimination gains may be for practically nothing. <br /> <br /> An additional challenge with initial pass yield is determining how functionality in this metric compares with peer groups and marketplace leaders. 1st pass yield is not a metric that is made extensively obtainable to the public, and understanding how performance breaks down by sector is even far more difficult. At LNS Study we are operating to breakdown these barriers and supply drill down analytics into the overall performance of metrics like 1st pass yield by market, geography, and company size. <br /> <br /> As can be seen by this initial data, performance can vary fairly a bit from industry to business. To learn more, consider taking a peep at: <a href="http://www.hangar.org/wikis/telepresencia/doku.php?id=would_you_like_to_see_something_new_then_you_should_visit_china" rel="nofollow">would_you_like_to_see_something_new_then_you_should_visit_china [Hangar - Te</a>. To get one more interpretation, consider looking at: <a href="http://www.archiplanet.org/index.php?title=The_Analysis_Contract_Manufacturing__Choosing_The_Appropriate_Way_To_Go_" rel="nofollow">pcba</a>.</div>

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